Social Networks with Rich Edge Semantics Contributor(s): Zheng, Quan (Author), Skillicorn, David (Author) |
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ISBN: 1138032433 ISBN-13: 9781138032439 Publisher: CRC Press OUR PRICE: $190.00 Product Type: Hardcover - Other Formats Published: August 2017 |
Additional Information |
BISAC Categories: - Computers | Databases - Data Mining - Computers | Machine Theory - Business & Economics | Statistics |
Dewey: 302.302 |
LCCN: 2017015871 |
Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Serie |
Physical Information: 0.5" H x 6.3" W x 9.4" (0.75 lbs) 230 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Social Networks with Rich Edge Semantics introduces a new mechanism for representing social networks in which pairwise relationships can be drawn from a range of realistic possibilities, including different types of relationships, different strengths in the directions of a pair, positive and negative relationships, and relationships whose intensities change with time. For each possibility, the book shows how to model the social network using spectral embedding. It also shows how to compose the techniques so that multiple edge semantics can be modeled together, and the modeling techniques are then applied to a range of datasets. Features
Suitable for researchers and students in social network research, data science, statistical learning, and related areas, this book will help to provide a deeper understanding of real-world social networks. |